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Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection

Year: 2022

Type: conference-paper

Abstract: Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, Noah Smith. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2022.

Source: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)

DOI: 10.18653/v1/2022.naacl-main.431

Authors: Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, Noah Smith

Institutions: Allen Institute for Artificial Intelligence, University of Washington, Georgia Institute of Technology

Language: English

Topic: Hate Speech and Cyberbullying Detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W3212327893

FWCI: 19.62

Cites: 78

Cited by: 161

Related to: 10